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QUESTION 141
A company runs SQL Server Database Engine and SQL Server Reporting Services (SSRS) in native mode.
Reports are based on data that is cached in multiple shared datasets.
Source data is purged each day at midnight for regulatory compliance purposes.
The shared datasets may continue to cache data that should not be used in reports.
Shared report schedules are often paused during nightly server maintenance windows.
Reports must not return purged data.
You need to create a fully automated solution to ensure that reports do not deliver purged data.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A.    Create a shared schedule. Configure the datasets to expire on the shared schedule.
B.    Write a script that calls the flushcache method to clear individual items from the SSRS cache.
Create a SQL Server Agent job that runs rs.exe with the script as an input file, and schedule
the job to run every day after the purge process completes.
C.    Create a SQL Server Agent job that uses a Transact-SQL (T-SQL) step to delete the data
from the dbo.ExecutionCache table in the ReportServerTempDB database.
Schedule the job to run every day after the purge process completes.
D.     Republish the cached datasets by using SQL Server Data Tools.

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QUESTION 81
You need to implement security in the cube to limit the sites visible to each user.
What should you do?

A.    Create an SSAS database role in the cube for each user and assign the sites each user can
access to his or her database role.
B.    Create an SSAS server role for each user and assign the sites each user can access to his
or her server role.
C.    Create an SSAS database role and define a Multidimensional Expressions (MDX) calculation
to implement dynamic dimension security.
D.    Create a view on the SalesTransactions table that uses the SecurityFilter and User table data
to limit the sites for each user.

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QUESTION 21
You are designing a partitioning strategy for a large fact table in a data warehouse.
Tens of millions of new records are loaded into the data warehouse weekly, outside of business hours. Most queries are generated by reports and by cube processing.
Data is frequently queried at the day level and occasionally at the month level.
You need to partition the table to maximize the performance of queries.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)

A.    Partition the fact table by month, and compress each partition.
B.    Partition the fact table by week.
C.    Partition the fact table by year.
D.    Partition the fact table by day, and compress each partition.